nistarlwc's Stars
gatieme/CodingInterviews
剑指Offer——名企面试官精讲典型编程题
ujsyehao/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
AlexeyAB/darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
dfuentes-uah/DPDnet-A-robust-people-detector-using-deep-learning-with-an-overhead-depth-camera
This paper proposes a deep learning-based method to detect multiple people from a single overhead depth image with high precision. Our neural network, called DPDnet, is composed by two fully-convolutional encoder-decoder blocks built with residual layers. The main block takes a depth image as input and generates a pixel-wise confidence map, where each detected person in the image is represented by a Gaussian-like distribution, The refinement block combines the depth image and the output from the main block, to refine the confidence map. Both blocks are simultaneously trained end-to-end using depth images and ground truth head position labels. The paper provides a rigorous experimental comparison with some of the best methods of the state-of-the-art, being exhaustively evaluated in different publicly available datasets. DPDnet proves to outperform all the evaluated methods with statistically significant differences, and with accuracies that exceed 99%. The system was trained on one of the datasets (generated by the authors and available to the scientific community) and evaluated in the others without retraining, proving also to achieve high accuracy with varying datasets and experimental conditions. Additionally, we made a comparison of our proposal with other CNN-based alternatives that have been very recently proposed in the literature, obtaining again very high performance. Finally, the computational complexity of our proposal is shown to be independent of the number of users in the scene and runs in real time using conventional GPUs.
cszn/DPSR
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
zheng-yuwei/multi-label-classification
基于tf.keras的多标签多分类模型
ysh329/deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
openvinotoolkit/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
ChanChiChoi/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Tencent/ObjectDetection-OneStageDet
单阶段通用目标检测器
coldlarry/YOLOv3-complete-pruning
提供对YOLOv3及Tiny的多种剪枝版本,以适应不同的需求。
soeaver/caffe-model
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
jinwchoi/awesome-action-recognition
A curated list of action recognition and related area resources
he-y/Awesome-Pruning
A curated list of neural network pruning resources.
Stick-To/Object-Detection-Tensorflow
Object Detection API Tensorflow
henry-zeng/AutoML-AIConf-2019-BJ
AutoML tutorial for AI Conferencen Beijing 2019
hwdsl2/setup-ipsec-vpn
Scripts to build your own IPsec VPN server, with IPsec/L2TP, Cisco IPsec and IKEv2
233boy/ss
Shadowsocks-Go 一键安装脚本 & 管理脚本
zeusees/License-Plate-Detector
基于Yolov5车牌检测,更快更准.
generalized-iou/g-tensorflow-models
tensorflow/models with GIoU
Duankaiwen/CenterNet
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
xingyizhou/ExtremeNet
Bottom-up Object Detection by Grouping Extreme and Center Points
996icu/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
libuyu/GHM_Detection
The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019.
AndrewCarterUK/pascal-voc-writer
A python library for generating annotations in the PASCAL VOC format.
aditya-vora/FCHD-Fully-Convolutional-Head-Detector
Code for FCHD - A fast and accurate head detector
amusi/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
XierHacker/LearningTensorFlow
Tensorflow 2.0 Tutorials
dvornikita/context_aug
Context-driven data augmentation for Object Detection (ECCV'18)
UjjwalSaxena/Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.